{"id":"W3207033317","doi":"10.1007/s40750-021-00179-z","title":"Performance Trade-Offs in Elite Swimmers","year":2021,"lang":"en","type":"article","venue":"Adaptive Human Behavior and Physiology","topic":"Sports Performance and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Elite; Psychology; Elite athletes; Athletes; Demography; Physical therapy; Medicine; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009917842,0.0004694504,0.0005076888,0.001187566,0.0005853759,0.001238449,0.0002922052,0.001041763,0.00474992],"category_scores_gemma":[0.003036235,0.0002480995,0.0003428952,0.000435395,0.0004006693,0.0004882817,0.0009399031,0.0004752829,0.001192823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004491121,"about_ca_system_score_gemma":0.0002045071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052038,"about_ca_topic_score_gemma":0.002149862,"domain_scores_codex":[0.9995763,0.0001109056,0.00003098914,0.00006315813,0.00005618563,0.0001624912],"domain_scores_gemma":[0.9987828,0.0004256022,0.0002011303,0.00006603288,0.000153589,0.0003708088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03723226,0.003860451,0.70874,0.0004408826,0.001211953,0.001766466,0.001427457,0.01407256,0.1139106,0.003223169,0.002302928,0.1118114],"study_design_scores_gemma":[0.00007072665,0.002932763,0.989059,0.00003669926,0.00006281597,0.0003453379,0.0004276746,0.003269572,0.001942984,0.001284154,0.0005472146,0.00002109969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961286,0.0003703779,0.000237408,0.0001287859,0.00001243489,0.000008642632,0.0001364108,0.00001190719,0.002965374],"genre_scores_gemma":[0.9983859,0.00008129228,0.00007650517,0.00002568291,0.00001529065,0.000009951294,0.0001388663,0.000009700917,0.001256844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00474992,"threshold_uncertainty_score":0.01589006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04550611405815027,"score_gpt":0.3057730277685958,"score_spread":0.2602669137104456,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}